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  Minot State / Math and CS / Rakibul Hasan
Department of Math, Data, and Technology

Rakibul Hasan

Photo of   Rakibul   Hasan

Assistant Professor

Office: Model Hall #314
Email: mdrakibul.hasan.3@minotstateu.edu

Office Hours - Fall 2026

Monday-Thursday: 9:00 AM - 10:00 AM

Biography

Md Rakibul Hasan is an Assistant Professor of Computer Science and Cybersecurity at Minot State University. He is also completing his Ph.D. in Computer Science at North Dakota State University.

His research lies at the intersection of artificial intelligence, machine learning, cybersecurity, privacy, and healthcare computing, with particular emphasis on federated learning, privacy-preserving machine learning, blockchain, knowledge distillation, ensemble learning, and distributed healthcare analytics. His work focuses on developing secure and intelligent systems that can learn collaboratively from distributed and sensitive data while preserving privacy and adaptability.

His recent research has addressed privacy-preserving diabetes and heart-disease prediction, patient digital twins using vertical federated learning, and blockchain-enabled federated learning for smart-home intrusion detection. His work has appeared in venues including JMIR Diabetes, Biomedicines, Smart Cities, and IEEE conferences.

As an educator, Hasan is interested in making computer science and cybersecurity concepts accessible, practical, and engaging through clear explanations, progressive learning, and connections between theory and real-world computing problems.

Research Interests

  • Artificial Intelligence & Machine Learning
  • Cybersecurity
  • Privacy-Preserving Machine Learning
  • Federated Learning
  • Blockchain & Distributed Systems
  • Healthcare AI & Predictive Analytics
  • Synthetic Data & Data Privacy
  • Generative AI & Large Language Models
  • Secure and Trustworthy AI

Education

Ph.D. in Computer Science
North Dakota State University - In Progress

M.S. in Computer Science and Engineering
North South University, Bangladesh, 2022

B.S. in Computer Science and Engineering
North South University, Bangladesh, 2019

Teaching

Minot State University

Fall 2026

  • CSCI 161 - Computer Science II
  • CSCI 221 - Web Application Development & Security
  • CSCI 260 - UNIX & Linux Systems

Spring 2027

  • CSCI 161 - Computer Science II
  • CSCI 258 - Software Security & Design
  • CSCI 324 - Reverse Engineering

North Dakota State University

During his doctoral studies, Hasan has served as a Graduate Teaching Assistant, supporting undergraduate and graduate computer science courses through grading, instructional assistance, feedback, and evaluation of programming and software-development work.

  • CSCI 160 - Computer Science I
  • CSCI 313 - Software Development with Frameworks
  • CSCI 724 - Survey of Artificial Intelligence

Selected Publications

Journal Publications

  • Hasan, M. R., and J. Li. "Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework." JMIR Diabetes, Vol. 11, e79166, 2026. doi: 10.2196/79166.
  • Shalan, M., M. R. Hasan, Y. Bai, and J. Li. "Enhancing Smart Home Security: Blockchain-Enabled Federated Learning with Knowledge Distillation for Intrusion Detection." Smart Cities, Vol. 8, No. 1, Article 35, 2025.
  • Hasan, M. R., Q. Li, U. Saha, and J. Li. "Decentralized and Secure Collaborative Framework for Personalized Diabetes Prediction." Biomedicines, Vol. 12, No. 8, Article 1916, 2024.

Conference Publications

  • Hasan, M. R., and J. Li. "Federated Stacked Selective Distillation for Privacy-Preserving Heart Disease Prediction." IEEE International Conference on E-Health Networking, Application & Services (HealthCom), Abu Dhabi, UAE, 2025. Best Paper Award - Main Track.
  • Hasan, M. R., et al. "Smart OCR for Recognizing Bangla Characters with CRAFT and Deep Learning Models." IEEE UEMCON, New York, USA, 2022. Best Presenter Award - Machine Learning Session.

Awards

  • Best Paper Award - Main Track, IEEE HealthCom 2025, Abu Dhabi, UAE
  • Nominated as Best Graduate Research Assistant, NDSU College of Engineering, 2026
  • Best Presenter Award - Machine Learning, IEEE UEMCON 2022, New York, USA
  • Rahul Devabhaktuni Memorial Scholarship, North Dakota State University, 2025

Academic & Professional Service

  • Chair & Meta Reviewer - 28th International Conference on Computer and Information Technology (ICCIT 2025)
  • Reviewer - 27th International Conference on Computer and Information Technology (ICCIT 2024)
  • Reviewer - 2nd International Conference on Information and Communication Technology (ICICT 2024)
  • Reviewer - 26th International Conference on Computer and Information Technology (ICCIT 2023)
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